Analytical search, an orchestration capability in Cortex Agents that enables analytical queries over large document collections, is now in Public Preview. Traditional retrieval-augmented generation (RAG) approaches retrieve a small number of passages, which limits their ability to answer questions requiring comprehensive analysis, such as counts...
Snowflake now supports replication of dynamic Iceberg tables as part of replication and failover groups. Previously, dynamic Iceberg tables were skipped during replication refresh operations. For more information, see Configure replication for Snowflake-managed Iceberg tables .
Clean room UI users: New updates are applied to the UI automatically when a user starts a new session after a new update is deployed. To ensure new updates are applied, make sure to log out and log back into the UI. Clean room API users: API updates are applied either manually or automatically to an account. Learn how to manage updates for Data Clean Rooms.
You can now use an SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.
You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition. Define variables when you create a semantic view using the VARIABLES clause in the CREATE SEMANTIC VIEW command, or by adding a variables key in the YAML specification .
When defining a semantic view , you can now specify sample values and enum indicators in the CREATE SEMANTIC VIEW command. These features were previously available only in the YAML specification and are now supported in DDL as well. For more information, see Adding sample values and enum indicators .
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